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Check your checkpoint directory, if you already trained the model, you will see something like mnist_64_28_28
To use this model for anomaly detection provide parameters for batch size of 64, and output dimension 28x28
Example: 1) Download training data: python download.py mnist 2) Train your model python main.py --dataset mnist --input_height=28 --output_height=28 --train 3) Prepare test data
Downloaded sample images and put them to test_data folder 4) Run anomaly detection python main.py --dataset mnist --batch_size=64 --input_height=28 --output_height=28 --crop --anomaly_test
First of all, thank you for your ANOGAN.
I have a one problem.
I'm sure the learning went well, but there's an error.
Exception: [!] Train a model first, then run test mode
Do you know what the problem is?
Thank you .
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